Big Data as a Gateway to Knowledge Management

dataversity.net

Knowledge management may be making a comeback the term we heard about in the early noughts, a formal system that helps manage what an organization knows. Developments in artificial intelligence and database technology have brought the promises of knowledge management back into the forefront.
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Spotlight

The vast quantity of data can be overwhelming to asset owners and asset managers. But with the right tools, they can make better sense of large datasets when analyzing liabilities, risk, performance and more. INVESTING IN DATA. Financial services firms are ramping their spend on data-related technologies to power their organizations forward. $9 billion. estimated amount invested in big data in the financial services industry in 2018.

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Insights & Analytics: Digging into the Data to Measure and Accelerate Trust Programs

It’s no secret that trust provides a competitive advantage, with trusted companies outperforming their market peers. Boards, executives, and businesses across the globe want to find ways to build trust with consumers, employees, investors, and all stakeholders. But how do you define metrics, quantify, and measure trust?
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Expanding Biobanking Size and Scope to Advance Big Data Discovery

LabRoots

Currently, the Cleveland Clinic Biorepository is an assembly of several biobanks together with the Lerner Research Institute. Excel spreadsheets track almost everything – and there are no universal LIS, SOPs, universal, centralized freezer monitoring, or means to electronically track patient tissue. The Cleveland Clinic is embarking on an enterprise-wide initiative to accelerate its biobanking capacity, leveraging its clinical volume and disease expertise. As part of this initiative, the Cleveland Clinic is partnering with Brooks Life Sciences to build a state of the art, 21,000 square-foot structure biobanking facility, set to open in the summer of 2019.
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How Data Governance Helped Genworth Financial to See Data as an Asset

One of the biggest misunderstandings about data governance? An assumption that you need data governance only because you’re working with inherently low-quality or low-value data. The data governance team at Genworth Financial focused on changing the way the organization thinks about governance in order to improve how it captures, stores, transforms, analyzes, and presents data—which in turn unlocked their data’s full value.
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Applying Hybrid Operational/Analytic Processing (Hoap) in the Real World

MariaDB

The need to monetize data has become a strategic imperative for businesses undergoing digital transformation, whether it’s using data to improve customer engagement, identify compelling opportunities or deliver actionable insight. However, as businesses look to expand revenue-generating, customer-facing applications beyond operational processing to include analytics, they find themselves outgrowing the their transactional database. They need full operational and full analytic capabilities.
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Spotlight

The vast quantity of data can be overwhelming to asset owners and asset managers. But with the right tools, they can make better sense of large datasets when analyzing liabilities, risk, performance and more. INVESTING IN DATA. Financial services firms are ramping their spend on data-related technologies to power their organizations forward. $9 billion. estimated amount invested in big data in the financial services industry in 2018.

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